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arXiv · 2410.16329

The Solution for Single Object Tracking Task of Perception Test Challenge 2024

Zhiqiang Zhong·Yang Yang·Fengqiang Wan·Henglu Wei·Xiangyang Ji
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Abstract

This report presents our method for Single Object Tracking (SOT), which aims to track a specified object throughout a video sequence. We employ the LoRAT method. The essence of the work lies in adapting LoRA, a technique that fine-tunes a small subset of model parameters without adding inference latency, to the domain of visual tracking. We train our model using the extensive LaSOT and GOT-10k datasets, which provide a solid foundation for robust performance. Additionally, we implement the alpha-refine technique for post-processing the bounding box outputs. Although the alpha-refine method does not yield the anticipated results, our overall approach achieves a score of 0.813, securing first place in the competition.

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Zhiqiang Zhong, Yang Yang, Fengqiang Wan, Henglu Wei, Xiangyang Ji. 2024-10-19. The Solution for Single Object Tracking Task of Perception Test Challenge 2024. https://arxiv.org/abs/2410.16329

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